Study on Fuzzy Adaptive Kalman Filter Algorithm for Vehicle Active Suspension

摘要：

According to highly nonlinear and time-varying vehicle suspension, fuzzy adaptive Kalman filter algorithm is put forward. Adaptive Kalman Filter (AKF) algorithm is used for adjust the fuzzy controller parameters online, adapted to the timevarying controlled object. The dynamic performance and steady precision of system is improved, and control quality is advanced. The results show that the riding comfort is obviously improved by this method.

关键词： active suspension fuzzy control AKF

作者: Nan Li Lai Wei Weibo Yu

作者单位: College of Information &Control Engineering Jilin Institute of Chemical Technology Jilin, China School of Electrical and Electronic Engineering Changchun University of Technology Changchun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 170-172

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）